Times-series Analysis (2024 Level II CFA® Exam -Quantitative Methods-Module 5)

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  • Опубликовано: 17 янв 2025

Комментарии • 13

  • @caroljynx6776
    @caroljynx6776 2 года назад +7

    I cannot believe this channel existed and I have suffered all through!

    • @analystprep
      @analystprep  2 года назад +1

      Glad it was helpful! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com

    • @kevinnguyen7093
      @kevinnguyen7093 Год назад

      @@analystprep 😊

  • @ayushdarda9963
    @ayushdarda9963 Год назад +2

    So grateful to this channel. Extremely helpful and the way concepts are explained is amazing. Thank you james sir

    • @analystprep
      @analystprep  Год назад

      Glad it was helpful! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com

  • @ValueInvestments
    @ValueInvestments Год назад +1

    Great Video Professor, make it super easy to understand.

    • @analystprep
      @analystprep  Год назад

      Glad it was helpful! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com

  • @LL-fl3pz
    @LL-fl3pz 11 месяцев назад +1

    in Dickey-fuller test, step 5, if g1 is not significantly different from 0, then b1=1, not b1=0?

  • @thehardlife5588
    @thehardlife5588 2 года назад +1

    This formula for durbin watson statistic is different from the one i have seen before 16:16

    • @苟得拜告辞
      @苟得拜告辞 2 года назад +1

      you cannot use DW for serial correlation in time series, that is not DW

    • @thehardlife5588
      @thehardlife5588 2 года назад

      @@苟得拜告辞 oh right, thanks

  • @brandonfronczak1008
    @brandonfronczak1008 2 года назад +3

    One over the square root of observations not time

    • @MrTheVakman
      @MrTheVakman 2 года назад +2

      In this case time is the number of observation